From systems biology to dynamical neuropharmacology

Proposal for a new methodology

P. Érdi, T. Kiss, J. Tóth, B. Ujfalussy, L. Zalányi

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

The concepts and methods of systems biology are extended to neuropharmacology in order to test and design drugs for the treatment of neurological and psychiatric disorders. Computational modelling by integrating compartmental neural modelling techniques and detailed kinetic descriptions of pharmacological modulation of transmitter-receptor interaction is offered as a method to test the electrophysiological and behavioural effects of putative drugs. Even more, an inverse method is suggested as a method for controlling a neural system to realise a prescribed temporal pattern. In particular, as an application of the proposed new methodology, a computational platform is offered to analyse the generation and pharmacological modulation of theta rhythm related to anxiety. 2006

Original languageEnglish
Pages (from-to)299-308
Number of pages10
JournalIEE Proceedings: Systems Biology
Volume153
Issue number4
DOIs
Publication statusPublished - Jul 2006

Fingerprint

Neuropharmacology
Systems Biology
Modulation
Methodology
Transmitters
Drug Design
Anxiety
Inverse Method
Computational Modeling
Theta Rhythm
Pharmacology
Transmitter
Receptor
Kinetics
Disorder
Drugs
Nervous System Diseases
Psychiatry
Interaction
Modeling

ASJC Scopus subject areas

  • Biotechnology
  • Cell Biology
  • Genetics
  • Molecular Biology
  • Molecular Medicine
  • Modelling and Simulation

Cite this

From systems biology to dynamical neuropharmacology : Proposal for a new methodology. / Érdi, P.; Kiss, T.; Tóth, J.; Ujfalussy, B.; Zalányi, L.

In: IEE Proceedings: Systems Biology, Vol. 153, No. 4, 07.2006, p. 299-308.

Research output: Contribution to journalArticle

Érdi, P. ; Kiss, T. ; Tóth, J. ; Ujfalussy, B. ; Zalányi, L. / From systems biology to dynamical neuropharmacology : Proposal for a new methodology. In: IEE Proceedings: Systems Biology. 2006 ; Vol. 153, No. 4. pp. 299-308.
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